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Releases: JuliaML/LossFunctions.jl

v1.0.0

27 Nov 15:03
68f9d75
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LossFunctions v1.0.0

Diff since v0.11.2

Merged pull requests:

Closed issues:

  • Multivariate Loss (#39)
  • Quadratic Weighted Kappa (#107)
  • Refactoring of codebase (#126)
  • Adding ELPD (#144)
  • Hausdorff Loss (#146)
  • Lipschitz constants for Lipschitz losses ? (#148)

v0.11.2

26 Aug 23:34
8be7671
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LossFunctions v0.11.2

Diff since v0.11.1

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v0.11.1

24 Aug 11:12
0b411a1
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LossFunctions v0.11.1

Diff since v0.11.0

Closed issues:

  • Very slow loss aggregation (#172)

Merged pull requests:

  • Improve aggregation speeds by using eachindex instead of iterate (#173) (@MilesCranmer)

v0.11.0

30 Jul 00:06
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LossFunctions v0.11.0

Diff since v0.10.1

Closed issues:

  • Type of vectors for aggregated losses overly restrictive? (#109)
  • Update documentation (#166)
  • Do not export traits by default (#170)

v0.10.1

21 Jul 22:22
1fff2f9
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LossFunctions v0.10.1

Diff since v0.10.0

Closed issues:

  • Convert CategoricalArrays.jl to extension? (#167)

Merged pull requests:

v0.10.0

03 May 17:38
311f1aa
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LossFunctions v0.10.0

Diff since v0.9.0

Merged pull requests:

  • Add documentation deploy & Update Documenter.jl version (#161) (@eliascarv)
  • Refactor AggMode submodule and types (#162) (@juliohm)
  • Remove value in favor of functor interface (#163) (@juliohm)

v0.9.0

18 Apr 16:10
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LossFunctions v0.9.0

Diff since v0.8.1

Closed issues:

  • No difference between WeightedMean and WeighedSum when normalize=false (#149)
  • Revisiting MLJ <-> LossFunctions.jl integration (#157)

Merged pull requests:

  • Remove ObsDim to generalize the code for iterables of observations (#158) (@juliohm)
  • Revert order of arguments (#159) (@juliohm)

v0.8.1

30 Mar 20:20
f97f43b
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LossFunctions v0.8.1

Diff since v0.8.0

Closed issues:

  • Release tags on repo are not up to date with General.jl (#152)

Merged pull requests:

v0.8.0

31 May 00:02
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LossFunctions v0.8.0

Diff since v0.7.2

Closed issues:

  • LogCosh Loss (#136)
  • MethodError: objects of type L2DistLoss are not callable (#138)

v0.7.2

10 Jun 14:13
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LossFunctions v0.7.2

Diff since v0.7.1

Closed issues:

  • Cannot use LossFunctions in Julia 1.0 (#142)

Merged pull requests: